gradoptics.integrator.stratified_sampling_integrator

class gradoptics.integrator.stratified_sampling_integrator.StratifiedSamplingIntegrator(nb_mc_steps)

Computes line integrals using stratified sampling

__init__(nb_mc_steps)

Parameters: nb_mc_steps – Number of Monte Carlo integration steps used for approximating the integral (int)

compute_integral(incident_rays, pdf, t_min, t_max)

Computes the line integral between t_min and t_max of the incident rays through the density pdf

Parameters

incident_rays – The rays for which the line integrals should be computed (Rays)
pdf – The pdf for which line integrals should be computed
t_min – Lower integration bounds (torch.tensor)
t_max – Higher integration bounds (torch.tensor)

Returns

Computed lines integrals (torch.tensor)